Author/Authors :
Kianfar, Kianoosh Department of Industrial Engineering - Islamic Azad University Science and Research branch, Tehran, Iran , Ahadzadeh Namin, Mahnaz Department of Mathematics - Islamic Azad University Shahr-e-Qods Branch, Tehran, Iran , Alam Tabriz, Akbar Department of Management - Shahid Beheshti University, Tehran, Iran , Najafi, Esmaeil Department of Industrial Engineering - Islamic Azad University Science and Research branch, Tehran, Iran , Hosseinzadeh Lotfi, Farhad Department of Mathematics - Islamic Azad University Science and Research branch, Tehran, Iran
Abstract :
Data envelopment analysis (DEA) is a nonparametric approach to estimate relative efficiency of
Decision Making Units (DMUs). DEA is one of the best quantitative approaches and balanced
scorecard (BSC) is one of the best qualitative methods to measure efficiency of an organization.
Since simultaneous evaluation of network performance of the quad areas of BSC model is
considered as a necessity and separate use of DEA and BSC is not effective and leads to
miscalculation of performance, integrated DEA-BSC model is applied. Regarding to multi-objective
nature of the proposed model, two techniques including goal programming and weighted average
method are used to solve such problems. At the end of the study, based on data relating to indexes
of quad areas of BSC model, the results of the mentioned methods are compared. Besides assessing
validation of the proposed model, the overall efficiency and each of the different stages of BSC are
obtained. So that, finding a model for decision making units in various stages of BSC is the
innovation of this research study.
Keywords :
Data Envelopment Analysis , Balanced Scorecard , Decision Making Units , Goal Programming , Weighting Objective Function , Multi Objective Programming
